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materials to fabricate copper/carbon composites. The candidate will assist (explore @ lab scale but also work on industrial upscaling) with the production of the materials, enhancement of the existing
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Applications are invited for a Research Associate position to work as part of the flagship Centre for Landscape Regeneration (CLR). The CLR is an ambitious programme of research that aims to provide the knowledge and tools needed to regenerate the British countryside using cost-effective...
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production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing a comprehensive multi-perspectives analysis approach, essential to track
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a comprehensive multi-perspectives analysis approach, essential to track the impacts of the characteristics in different scales of the investigated processes on their overall techno-economic
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Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
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développement de nouveaux matériaux magnétiques composites et d'inducteurs de puissance intégrés à noyau magnétique à base de ces matériaux, qui seront utilisés pour mettre en œuvre des IVR à haute fréquence et à
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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PhD Thesis position in Composite Magnetic Materials and Embedded Magnetic Core power Inductors for Integrated Voltage Regulators in High-Performance ComputingContract: Full Time/Fixed Term for three
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management and thus to a higher overall system efficiency. This PhD research project targets the development of novel composite magnetic materials and package-embedded power magnetic core inductors based
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of Michigan) Job Duties Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Build organism-scale ODE/PDE/stochastic models based on ABM outputs and experimental data